11results about How to "Reduce optimization costs" patented technology

The invention discloses a multipath channel parameter reconstruction and beam coverage prediction method, and relates to the technical field of wireless communication. Aiming at the problems of low data utilization efficiency, limited environment modeling precision, strong coupling of measured data and antenna beam configuration and the like in the prior art, the method comprises the steps of configuring antenna beams and orientation parameters, collecting reference signal receiving strength, performing deterministic channel modeling simulation, establishing a mapping model, performing sparse recovery, constructing a channel propagation model, evaluating a channel map and the like. In combination with a coherence perception weighting network (CARE-Net) algorithm and ray tracing (RT) physical prior guidance, accurate reconstruction from a low-dimensional reference signal receiving strength (RSRP) measurement value to a high-dimensional multipath parameter is realized. The method has the advantages that the reconstructed multi-path parameters are decoupled from the antenna configuration, the method has the cross-beam / cross-configuration generalization prediction capability, the channel coverage performance under different antenna configurations can be accurately predicted, a reliable basis is provided for wireless network optimization, and the method is low in cost, high in precision and strong in generalization.

The application discloses a UT transformation-based impact small celestial body orbit terminal state optimization method and belongs to the technical field of aerospace. The application realizes the method as follows: positions and velocities of the earth and small celestial bodies are obtained according to ephemeris and kinematic equations of the small celestial bodies, and the velocity variation of the small celestial body after the impact of a probe is defined as a constant, so that two angles of the velocity change direction of the small celestial body after the impact of the probe are taken as impact design variables; UT transformation is used to perform error evolution of the small celestial body, so that the space-time distribution probability of the target small celestial body in a future period of time is obtained; the space-time distribution probability of the small celestial body is calculated, the instantaneous impact probability under the given impact design is calculated based on a Legendre-Gauss quadrature method, and the overall impact probability of the small celestial body is obtained by integral based on a Newton-Cotes quadrature method; and based on the impact probability calculation method, the impact design variables are optimized in combination with a global optimization algorithm, so that the impact probability of the small celestial body under the optimized variables is the lowest.

The invention relates to an encryption and decryption method and device, equipment, a medium, a program product and a chip, and the encryption and decryption method comprises the steps: operating a first preset algorithm and a second preset algorithm to execute an encryption process or a decryption process, and determining target output information. Through the design of the first preset algorithm and the second preset algorithm, the first operation of the first preset algorithm and the second operation of the second preset algorithm are in one-to-one correspondence with the second operation of the second preset algorithm and the first operation of the second preset algorithm within the preset time range of the running state of the first preset algorithm and the second preset algorithm. Therefore, the overall power consumption at each moment in the preset time range is the sum of the power consumption of the first operation and the power consumption of the second operation, efficient defense against side channel attacks and error injection attacks is achieved in a mode of controlling the power consumption to be constant, and the safety and stability are further improved. And the method has the characteristics of simplicity in implementation, low optimization cost, high universality and the like.

The invention relates to the field of artificial intelligence, can be applied to business system platforms of finance, medical health and the like, and discloses a generative iterative optimization method, device and equipment for health consultation and a medium, and the method comprises the steps: receiving a health consultation question submitted by a user; according to the user portrait, driving a dialogue generation model of the current version to generate a plurality of candidate answers according to a corresponding generation strategy; performing multi-dimensional evaluation and confidence coefficient calibration on the plurality of candidate answers, screening out answers to be corrected, and obtaining corresponding corrected answer samples; constructing a structured weighted preference data set according to the evaluation and confidence data of the corrected answer sample; and performing confidence-weighted dynamic fine tuning optimization on the dialogue generation model of the current version through the structured weighted preference data set to obtain a dialogue generation model of a new version. By performing multi-dimensional evaluation on the plurality of candidate answers and screening and constructing the preference data with the quality weight for dynamic fine adjustment, the optimization cost is reduced and the optimization efficiency is improved.

The invention relates to the field of avionics bus signal integrity design, in particular to a method for optimizing ARINC659 bus signal integrity. Comprising the following steps: building an ARINC659 bus signal backboard architecture model; the terminating circuit structure of the transmitting and receiving end is optimized; refining resistance parameters according to the structure of the terminating circuit of the receiving and transmitting end; refining parallel inductance parameters according to the structure of the terminating circuit of the receiving and transmitting end; refining internal direct-current resistance parameters of the parallel inductors; a backboard terminating circuit structure is optimized; and refining series inductance parameters according to the backplane terminating structure. The method can be suitable for a multi-branch circuit signal integrity optimization scene, and impedance consistency is improved.

The invention is suitable for the technical field of computer-aided structure design, and particularly relates to a concrete mixer barrel structure optimization design method which comprises the following steps: acquiring a reference object and an initial structure parameter corresponding to the reference object; performing a first detection operation on the reference object based on an initial pitch angle determined by the initial structure parameter, and obtaining an adjusted pitch angle; performing second detection operation on the reference object based on the adjusted pitch angle and the initial structure parameter, and acquiring a detection information set in real time; determining optimization data based on the detection information set; performing optimization adjustment on the initial structure parameters based on the optimization data to obtain optimized structure parameters; wherein the optimized structure parameters refer to the lead angles of the helical blades at the axial positions in the optimized reference object. According to the optimization design method for the cylinder structure of the concrete mixer truck, the mixing uniformity of the concrete mixer truck on internal concrete can be improved.

This invention belongs to the field of waste plastic pyrolysis resource utilization, specifically a machine learning-based process optimization method for preparing light aromatics from waste plastic pyrolysis. This method constructs a dataset based on raw material characteristics, pyrolysis conditions, and product data from published literature, performs preprocessing, trains and optimizes various machine learning regression models, and selects the optimal model for predicting light aromatics yield based on evaluation indicators. Then, interpretability analysis is used to identify key factors affecting the yield, and raw material structural characteristics such as saturated C-H bonds, methyl branches, and carbonyl groups are used as inputs to enhance the characterization of raw material differences. Under industrial constraints, with the light aromatics yield as the optimization objective, a particle swarm optimization algorithm is used to globally optimize the reaction condition parameters to obtain the optimal combination of operating parameters. This invention can achieve light aromatics yield prediction and operating parameter recommendation under fluctuating raw material composition, improving prediction stability and generalization ability, reducing experimental iterations, and lowering optimization costs.

This invention discloses a UAV path planning method based on multi-resolution hierarchical airspace, comprising: dividing the task airspace into non-overlapping grids of different resolutions according to altitude or environmental complexity; mapping obstacle information and labeling grid attributes; abstracting free grids into nodes and constructing a graph structure of intra-layer and inter-layer connecting edges; wherein, in each inter-layer connecting edge, the parent node of the free node in the high-resolution layer and the free node in the low-resolution layer satisfy the condition for establishing an intra-layer connecting edge; searching for the optimal discrete path from the starting point to the ending point using the A* algorithm based on the graph structure; performing curve fitting and smoothing on the path point sequence, and combining UAV dynamics constraint optimization to generate a continuous and flyable 3D trajectory. This invention adapts to different airspace complexities through hierarchical grids, ensuring planning accuracy in complex areas while improving planning efficiency in large-scale airspaces, and the final trajectory balances optimality and practical flight feasibility.

The application discloses an information display method and device, electronic equipment and a storage medium, and the method comprises the following steps: sending a first cluster information acquisition instruction to a target terminal running a target application program; the target application program is an application program developed based on an Unreal Engine; acquiring first cluster information returned by the target terminal; the first cluster information comprises root object information of each object cluster corresponding to the target application program in the memory of the target terminal, and the root object information indicates the name and type of a corresponding root object; and the root object information of each object cluster is displayed. The application actively acquires and displays more effective cluster information, which is beneficial to improving the optimization efficiency of cluster-based garbage collection and reducing optimization cost.

A method for extracting triples from knowledge graphs in the mining industry based on ontology constraints and thought chain principles is proposed. The method constructs a highly complete mining domain ontology, acquires and preprocesses unstructured text data sources from the mining domain, and then constructs structured prompts containing ontology constraint information and thought chain reasoning instructions, transforming the triple extraction task into a constrained generative reasoning process. The structured prompts are input into a generative large language model. After receiving the input, the model, relying on its self-attention mechanism and pre-trained knowledge, strictly follows the pre-defined thought chain paths in the structured prompts to conduct reasoning. The output of the generative large language model is parsed using a parsing algorithm, separating the thought chain part and the final result part of the model output. Triple data structures are extracted from the final result part to form a candidate triple list, followed by ontology-based post-processing verification and optimization. This method enables efficient, accurate, and standardized extraction of knowledge in the mining domain.

The present disclosure provides a kind of MCS target code rate dynamic correction method and device, DSS base station.MCS target code rate dynamic correction method includes: whether the PRB scheduled by NR terminal is located in NR exclusive area is detected;If the PRB scheduled by NR terminal is not located in NR exclusive area, the CQI sent by NR terminal is obtained;The MCS target code rate is corrected using the obtained CQI, the position of NR terminal and LTE CRS port number, DSS scheduling bandwidth and SSS bandwidth;Link adaptation coding and modulation are carried out using the MCS target code rate after correction.The present disclosure can effectively improve the downlink rate of NR terminal, improve the performance and capacity of NR in DSS, improve DSS resource utilization, improve NR user experience, and reduce DSS optimization cost.